This project is a Twitter bot that tweets out the best sales by percentage in the Amazon electronics category. When tweeted at with a "search term", it replies with the best sale using that search term. The bot provides a link, price drop, percentage, and image. All scraping is performed on camelcamelcamel.com and amazon.com.

• Tweets the best sales in the Amazon electronics category
• Replies to tweets with the best sale for a given search term
• Provides detailed information including link, price drop, percentage, and image

• Python 3.7+
• Tweepy
• Requests
• BeautifulSoup4

1. Clone the repository:

   git clone https://github.com/yourusername/tech-sales-twitter-bot.git
   cd tech-sales-twitter-bot

2. Install the required Python packages:

   pip install tweepy requests beautifulsoup4

3. Set up your Twitter API credentials:

   • Create a Twitter Developer account and create a new app to get your API keys
   • Replace the placeholders in the Jupyter notebook with your actual Twitter API credentials:

     CONSUMER_KEY = 'your_consumer_key'
     CONSUMER_SECRET = 'your_consumer_secret'
     ACCESS_TOKEN = 'your_access_token'
     ACCESS_SECRET = 'your_access_secret'

1. Open the Jupyter notebook Tech Sales Twitter Bot.ipynb in Jupyter Notebook or Jupyter Lab

2. Run all the cells in the notebook to start the bot

3. The bot will tweet the best sale once a day and reply to tweets with the best sale for a given search term

• The bot scrapes data from camelcamelcamel.com and amazon.com to find the best sales
• It uses Tweepy to interact with the Twitter API
• The bot tweets the best sales once a day and listens for tweets mentioning it to reply with the best sale for a given search term